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Python | Pandas TimedeltaIndex.intersection

  • Last Updated : 15 Sep, 2021

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.

Pandas TimedeltaIndex.intersection() function return a new Index with elements from the index that are common to both the indexes. This is a specialized intersection for TimedeltaIndex objects. It may be much faster than Index.intersection.

Syntax : TimedeltaIndex.intersection(other)
Parameters : 
other : TimedeltaIndex or array-like
Return : Index or TimedeltaIndex
 

Example #1: Use TimedeltaIndex.intersection() function to find the intersection of two TimedeltaIndex objects. 

Python3




# importing pandas as pd
import pandas as pd
 
# Create the first TimedeltaIndex object
tidx1 = pd.TimedeltaIndex(start ='11 days 22:11:12.001124', periods = 5,
                                          freq ='T', name ='New_object')
 
# Create the second TimedeltaIndex object
tidx2 = pd.TimedeltaIndex(start ='11 days 22:14:12.001124', periods = 5,
                                          freq ='T', name ='New_object')
 
# Print the first and second TimedeltaIndex object
print(tidx1, '\n', tidx2)

Output : 
 



 

Now we will use the TimedeltaIndex.intersection() function to find the intersection of the two objects

Python3




# find the intersection
tidx1.intersection(tidx2)

Output : 
 

As we can see in the output, the TimedeltaIndex.intersection() function has returned an object which contains only those elements which are common to both tidx1 and tidx2. 
  
Example #2: Use TimedeltaIndex.intersection() function to find the intersection of two TimedeltaIndex objects.



Python3




# importing pandas as pd
import pandas as pd
 
# Create the first TimedeltaIndex object
tidx1 = pd.TimedeltaIndex(start ='1 days 02:00:12.001124',
                    periods = 5, freq ='D', name ='Koala')
 
# Create the second TimedeltaIndex object
tidx2 = pd.TimedeltaIndex(start ='3 days 02:00:12.001124',
                    periods = 5, freq ='D', name ='Koala')
 
# Print the first and second TimedeltaIndex object
print(tidx1, '\n', tidx2)

Output : 
 

 

Now we will use the TimedeltaIndex.intersection() function to find the intersection of the two objects

Python3




# find the intersection
tidx1.intersection(tidx2)

Output : 
 

As we can see in the output, the TimedeltaIndex.intersection() function has returned an object which contains only those elements which are common to both tidx1 and tidx2.
 

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